Operations Architect

Jobtailor; Arizona; On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor seeks a senior strategist to lead designing and deploying AI-assisted workflows with strong orchestration and human-in-the-loop controls. You will partner across product, engineering, legal and security to ensure governance, risk management, and production readiness in operator-facing SaaS solutions.

You will prototype patterns, extract reusable components, and influence product priorities with evidence-based asks.

Qualifications

• 8+ years in operations, product, or AI roles.
• At least 2 years designing and deploying AI-assisted or agentic workflows in production.
• Hands-on experience with agentic tooling, orchestration frameworks, or MCP-style integrations, including multi-agent coordination.
• Strong fluency with LLM systems, including prompt design and evaluation.
• Experience designing human-in-the-loop systems with escalation logic, override controls, and compliance-aware checkpoints.
• Ability to define and diagnose workflow metrics, including solve and assist rate, containment, and escalation quality.
• Proven track record influencing Product, Engineering, Legal, Security, and Compliance in writing, design reviews, and high-stakes forums.
• Familiarity with Responsible AI practices, governance, and risk management in production.
• Prior experience in a function being actively redefined.
• Experience with RAG architectures and retrieval quality optimization strongly preferred.
• Ability to assess data structures, quality, and governance for reliable agentic performance strongly preferred.
• Experience in SaaS, fintech, or regulated environments strongly preferred.
• Exposure to AI governance or safety-oriented review processes strongly preferred.

Responsibilities

• Demonstrates expertise in designing and deploying AI-assisted workflows, with a strong focus on orchestration frameworks and human-in-the-loop systems.
• Influence cross-functional teams and stakeholders while ensuring compliance and governance in production environments.

Skills

AI-assisted workflow design

Orchestration frameworks

Human-in-the-loop systems

LLM systems fluency

Responsible AI practices

Stakeholder influence

RAG architectures

Data governance assessment

Tools

MCP-style integrations

AI governance tools

Compliance checkpoints

Job description

• Own reusable capabilities, patterns, primitives, standards, and tooling for agentic service workflows
• Design reusable orchestration, human-in-the-loop protocols, override and escalation logic, and quality safeguards
• Set concrete standards for workflow builders
• Prototype workflows to validate patterns, expose gaps, and unblock difficult problems
• Extract reusable components from prototypes and hand them off
• Incorporate learnings from builds into shared patterns
• Influence Product priorities with evidence-based asks
• Prototype capabilities missing from the platform before investment
• Rank automation opportunities by volume, risk, and customer impact
• Mine SOPs, operational metrics, and interaction data to prioritize work
• Work with Data to define workflow performance measurement
• Identify processes that should not be automated
• Bring customer stakes into Legal, Security, Compliance, and platform reviews
• Represent portfolio performance to senior stakeholders in an action-oriented manner

Requirements

• 8+ years in operations, product, or AI roles
• At least 2 years designing and deploying AI-assisted or agentic workflows in production
• Hands‑on experience with agentic tooling, orchestration frameworks, or MCP‑style integrations, including multi‑agent coordination
• Strong fluency with LLM systems, including prompt design and evaluation
• Experience designing human‑in‑the‑loop systems with escalation logic, override controls, and compliance‑aware checkpoints
• Ability to define and diagnose workflow metrics, including solve and assist rate, containment, and escalation quality
• Proven track record influencing Product, Engineering, Legal, Security, and Compliance in writing, design reviews, and high‑stakes forums
• Familiarity with Responsible AI practices, governance, and risk management in production
• Prior experience in a function being actively redefined
• Experience with RAG architectures and retrieval quality optimization strongly preferred
• Ability to assess data structures, quality, and governance for reliable agentic performance strongly preferred
• Experience in SaaS, fintech, or regulated environments strongly preferred
• Exposure to AI governance or safety‑oriented review processes strongly preferred

Core Competencies

Demonstrates expertise in designing and deploying AI‑assisted workflows, with a strong focus on orchestration frameworks and human‑in‑the‑loop systems. Proven ability to influence cross‑functional teams and stakeholders while ensuring compliance and governance in production environments.

Highest‑signal resume keywords

• AI‑Assisted Workflow Design
• Orchestration Frameworks
• Human‑In‑The‑Loop Systems
• LLM Systems Fluency
• Responsible AI Practices

Hard Skills

• Agentic Tooling
• Workflow Performance Measurement
• Escalation Logic Design
• Data Structure Assessment
• RAG Architectures
• Prompt Design
• Quality Safeguards
• Automation Opportunity Ranking
• SOP Mining
• Operational Metrics Analysis

Soft Skills

• Influencing Stakeholders
• Action‑Oriented Communication
• Problem Solving

Industry Keywords

• SaaS
• Fintech
• Regulated Environments
• AI Governance
• Risk Management

Tools & Technologies

• MCP‑Style Integrations
• AI Governance Tools
• Compliance Checkpoints